Amazon Redshift vs Netezza Analytics comparison

The compared Amazon Web Services (AWS) and IBM solutions aren't in the same category. Amazon Web Services (AWS) is ranked #5 in CDW , with an average rating of 7.8, and holds a 7.2% mindshare in the category. IBM is ranked #10 in H , and holds a 1.4% mindshare. Additionally, 86% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 76% of IBM users who would recommend it.

Amazon Redshift

Read 70 Amazon Redshift reviews

4,588 Views
2,906 Comparison Views

86% willing to recommend

Netezza Analytics

Read 11 Netezza Analytics reviews

177 Views
65 Comparison Views

76% willing to recommend

Amazon Redshift

Netezza Analytics

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Executive Summary

We performed a comparison between Amazon Redshift and Netezza Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

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Buyer's Guide

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April 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Redshift

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

Netezza Analytics

Average Rating

7.4

Number of Reviews

Ranking in other categories

Hadoop (10th)

Mindshare comparison

Amazon Redshift and Netezza Analytics aren’t in the same category and serve different purposes. Amazon Redshift is designed for Cloud Data Warehouse and holds a mindshare of 7.2%, down 9.2% compared to last year.
Netezza Analytics, on the other hand, focuses on Hadoop, holds 1.4% mindshare, up 1.1% since last year.

Cloud Data Warehouse

Hadoop

Featured Reviews

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Works as a data warehouse system and collects data from different sources

In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic. We often encounter issues like someone dropping a column or changing the order of columns, which can cause synchronization problems when pushing data through our pipeline. It's a minor issue, but it can be annoying.

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Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

A robust solution with good support, but a better GUI for database management is needed

The biggest lesson that I have learned from using this solution is that a lot of evaluation should be done before starting. Also, we needed to put a lot of effort into understanding the different functions that the product offers. This allows you to best leverage the capability of the product. I would rate this solution a seven out of ten.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."

"Amazon Redshift is a really powerful database system for reporting and data warehousing."

"Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there."

"If the analyst knows SQL, which is comfortable and easy to use to go between all of these tool stacks, I think it's reliable. It's a secure and reliable data warehouse."

"It is very easy to dump data into the tool."

"The seamless connection and good scalability on the cloud are valuable features of Amazon Redshift."

"We have found Machine Learning use cases are very nice."

"It allows for the storage of huge amounts of data."

More Amazon Redshift pros

"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."

"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."

"Speed contributes to large capacity."

"The most valuable feature is the performance."

"The need for administration involvement is quite limited on the solution."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."

Cons

"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."

"The refreshment rate of data reaching Redshift from other sources should be faster."

"Improvement could be made in the area of streaming data."

"The solution is unable to work fast."

"Planting is the primary key enforcement that should be improved."

"One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum."

"Running parallel queries results in poor performance and this needs to be improved."

"The solution could improve in handling more data formats and more native support for RDF."

More Amazon Redshift cons

"Administration of this product is too tough. It's very complex because of the tools which it's missing."

"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."

"The Analytics feature should be simplified."

"The most valuable features of this solution are robustness and support."

"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."

"The solution could implement more reporting tools and networking utilities."

More Netezza Analytics cons

Pricing and Cost Advice

"The solution has very competitive pricing."

"I have heard complaints about the solution’s pricing, and thus I rate it as a five."

"It is an expensive product."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."

"The solution is available at a mid-range price compared to other vendors."

"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."

"The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."

More Amazon Redshift pricing and cost advice

"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."

"The annual licensing fees are twenty-two percent of the product cost."

"Expensive to maintain compared to other solutions."

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Top Industries

By visitors reading reviews

Educational Organization

64%

Financial Services Firm

Computer Software Company

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

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What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

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What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

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Comparisons

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Compared 100% of the time

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Product Reports

Buyer's Guide

Amazon Redshift

April 2025

Download Amazon Redshift product report

Buyer's Guide

Netezza Analytics

March 2025

Download Netezza Analytics product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

IBM Netezza Analytics is an embedded, purpose-built, advanced analytics platform that empowers analytic enterprises to meet and exceed their business demands. As features, it can predict with more accuracy, deliver predictions faster and respond rapidly to changes.

IBM

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

A leading online advertising network

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: April 2025.

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